Journal of Korea Multimedia Society (한국멀티미디어학회논문지)

Korea Multimedia Society (한국멀티미디어학회)
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Dynamic Human Activity Recognition Based on Improved FNN Model

  • Xu, Wenkai (Department of Information & Communications Engineering, Tongmyong University) ;
  • Lee, Eung-Joo (Department of Information & Communications Engineering, Tongmyong University)
  • Received : 2011.04.14
  • Accepted : 2012.03.31
  • Published : 2012.04.30
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Abstract

In this paper, we propose an automatic system that recognizes dynamic human gestures activity, including Arabic numbers from 0 to 9. We assume the gesture trajectory is almost in a plane that called principal gesture plane, then the Least Squares Method is used to estimate the plane and project the 3-D trajectory model onto the principal. An improved FNN model combined with HMM is proposed for dynamic gesture recognition, which combines ability of HMM model for temporal data modeling with that of fuzzy neural network. The proposed algorithm shows that satisfactory performance and high recognition rate.

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References

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